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README.md
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metrics:
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- accuracy
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- IoU
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---
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### Model and Inputs
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The pretrained [Prithvi-EO-1.0-100M](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M/blob/main/README.md) parameter model is finetuned to classify crop and other land cover types based off HLS data and CDL labels from the [multi_temporal_crop_classification dataset](https://huggingface.co/datasets/ibm-nasa-geospatial/multi-temporal-crop-classification).
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metrics:
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- accuracy
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- IoU
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library_name: terratorch
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pipeline_tag: image-segmentation
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---
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### Model and Inputs
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The pretrained [Prithvi-EO-1.0-100M](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M/blob/main/README.md) parameter model is finetuned to classify crop and other land cover types based off HLS data and CDL labels from the [multi_temporal_crop_classification dataset](https://huggingface.co/datasets/ibm-nasa-geospatial/multi-temporal-crop-classification).
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